The Indian Digital Credit Market Research report: Collections accounts need careful investigation

97.8% of sampled recovery-conduct opinions are negative in Relvo’s research. Reported experiences require case review; they are not verified incident rates.

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  • 97.8% of sampled recovery-conduct opinions are negative in Relvo’s digital-credit research.
  • The sampling favours critical voices, so the figure cannot estimate how often misconduct occurs.
  • Reported collections experiences need case-level verification; no distress accounts are quoted here.

Negative views account for 97.8% of sampled recovery-conduct opinions in Relvo’s digital-credit research (n=136), snapshot dated 2 October 2026. The sample over-represents critical voices. This measures how the recorded opinions describe collections, rather than the incidence of misconduct across loans.

How to read the numbers: Shares describe sampled accounts or opinions, with their bases shown. Reviews were sampled across star ratings, which over-represents critical voices. Separate evidence sets can come from the same accounts. Small bases are indicative; bases below 10 are reported directionally.

How sampled opinions describe recovery conduct. Negative: 97.8%; Positive, mixed or neutral: 2.2%. Base: recovery-conduct opinions (n=136). Source: Relvo research, snapshot 2 October 2026.
Share of coded recovery-conduct opinions. Base: recovery-conduct opinions (n=136). Source: Relvo research, snapshot 2 October 2026. Reviews sampled across star ratings; critical voices over-represented. Not loan transaction data and not a representative survey.

Repayment status and the experience of collection contact are different questions. An account of an overdue payment does not independently establish what a collector did. An unfavourable description of contact does not establish the balance or payment history. Investigating either requires records beyond the opinion itself.

The India digital credit market research keeps recovery conduct distinct from fees, support and repayment flexibility. That separation matters when reviewing a complaint. A disputed amount, difficulty making a payment and an allegation about contact may coexist, but each needs its own evidence.

For a lender or service partner, the relevant review would compare the account with contact records, the reported issue and how it was handled. The research cannot supply those records or determine responsibility for a particular interaction. It identifies experiences that merit careful examination.

Relvo’s consumer behavior research records borrower accounts without presenting distressing verbatim material here. The finding does not rank collection providers, establish a legal violation or assess an individual’s obligations. Its value is in specifying an area for investigation while preserving the distinction between a reported experience and a verified incident.

Questions about the research

Does the chart show how often collection misconduct happens? No. It summarises sampled opinions about recovery conduct. An incident rate would require verified cases and a suitable denominator of collection interactions.

Is this based on lender transaction data? No. It uses coded borrower accounts and opinions. It is not loan transaction data and not a representative survey.

Related research: The India Digital Credit Market Report, 2026 on NBW Brain examines borrower decisions, experiences and behavioural patterns, with evidence available through its Market Brain.

Methodology

Source: Relvo digital-credit research, snapshot dated 2 October 2026. Borrower accounts and opinions are coded to a fixed codebook with evidence and coding checks. Accounts span October 2025–October 2026. Reviews were sampled across star ratings; critical voices are over-represented. Each share refers to the event, profile or opinion set named alongside it. A profile is a coded account, not a verified unique borrower or credit file. Opinion and action layers may overlap. Bases of 10–29 are indicative; bases below 10 are reported directionally. Findings do not establish population prevalence, loan approval rates, legal breaches or causal effects.

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